Google Cloud Platform Data Engineer

Title: Google Cloud Platform Data Engineer
Duration: 6 months
Location: hybrid, San Jose, CA
Responsibilities

• Provide specialized Google Cloud Platform data engineering capability for Finance Transformation, including scalable finance data pipeline design and integration..
• Design, build, and optimize cloud-based data solutions on Google Cloud Platform to enable finance reporting, analytics, and operational processes.
• Collaborate with finance, business, and technology stakeholders to gather requirements and deliver high-quality data engineering solutions.
• Ensure data quality, governance, security, and compliance standards are implemented across finance data platforms and integrations.
• Support performance tuning, troubleshooting, and continuous improvement of finance data architecture, pipelines, and reporting capabilities.

Requirements

• 5+ years of experience in data engineering with strong expertise in Google Cloud Platform (Google Cloud Platform) services and architecture.
• Hands-on experience designing and implementing large-scale ETL/ELT pipelines and data integration solutions for finance or enterprise environments.
• Strong knowledge of cloud data technologies, including BigQuery, Dataflow, Cloud Storage, and related Google Cloud Platform services.
• Experience working with finance data domains, financial reporting, and Finance Transformation programs.
• Excellent communication and stakeholder management skills with the ability to work effectively across finance, business, and technical teams.

Rate: 50 - 60
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